John Choi
About John Choi
John Choi is a Staff Scientist at Lawrence Livermore National Laboratory, specializing in Computer Vision applications within Machine Learning. He has a background in engineering, with experience in various roles including Machine Learning Engineer and Data Visualization Intern.
Current Role at Lawrence Livermore National Laboratory
John Choi currently serves as a Staff Scientist at Lawrence Livermore National Laboratory. He has been in this role since October 2023, contributing to projects in the San Francisco Bay Area in a hybrid work environment. His expertise in machine learning and computer vision applications supports the laboratory's research initiatives.
Previous Experience in Machine Learning Engineering
Prior to his current position, John Choi worked as a Machine Learning Engineer at EvolutionIQ from 2022 to 2023 in Dallas, Texas. He also held a similar role at DCS Corp from 2019 to 2021 in Aberdeen, Maryland, where he developed a real-time situational awareness system for ground-based military vehicles. His experience spans various applications of machine learning.
Educational Background in Computer Engineering
John Choi earned a Bachelor of Science in Computer Engineering from the University of Illinois Urbana-Champaign, completing his studies from 2015 to 2019. His education provided a strong foundation in computer science principles, which he has applied throughout his career in machine learning and data visualization.
Internship Experience in Data Visualization and Research
John Choi gained practical experience through several internships. He worked as a Data Visualization Intern at ParqEx for two months in 2017 and as a Research Intern at the US Army Corps of Engineers from 2018 to 2019. He also completed a Software Engineering Internship at Murano Corporation in 2016, which contributed to his professional development in technology and engineering.
Specialization in Computer Vision Applications
John Choi specializes in computer vision applications within the field of machine learning. His focus on this area has guided his work across various roles, allowing him to contribute to innovative projects that leverage visual data processing and analysis.